{"title":"字典数据结构的文本分析任务使用交叉引用","authors":"A. Yarovyi, Dmytro Kudriavtsev","doi":"10.1109/CSIT56902.2022.10000460","DOIUrl":null,"url":null,"abstract":"In this research, the dictionary structure of data for storing text data is considered. The main characteristics of the analysis of textual information by thematic classification are defined. The use of an improved dictionary data structure using tags and nesting levels is proposed. The advantages of using levels of data nesting for access on the selected topic are noted using the example of an intelligent chatbot.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dictionary data structure for a text analysis task using cross-references\",\"authors\":\"A. Yarovyi, Dmytro Kudriavtsev\",\"doi\":\"10.1109/CSIT56902.2022.10000460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, the dictionary structure of data for storing text data is considered. The main characteristics of the analysis of textual information by thematic classification are defined. The use of an improved dictionary data structure using tags and nesting levels is proposed. The advantages of using levels of data nesting for access on the selected topic are noted using the example of an intelligent chatbot.\",\"PeriodicalId\":282561,\"journal\":{\"name\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIT56902.2022.10000460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dictionary data structure for a text analysis task using cross-references
In this research, the dictionary structure of data for storing text data is considered. The main characteristics of the analysis of textual information by thematic classification are defined. The use of an improved dictionary data structure using tags and nesting levels is proposed. The advantages of using levels of data nesting for access on the selected topic are noted using the example of an intelligent chatbot.